Which is cheaper, Claude Sonnet 5.5 and Muse Spark 1.2?

Muse Spark 1.2 has the lowest input price. Per 1M input tokens: Claude Sonnet 5.5 from $2.00 and Muse Spark 1.2 from $1.25.

Which has the larger context window, Claude Sonnet 5.5 and Muse Spark 1.2?

Muse Spark 1.2 has the largest context window: Claude Sonnet 5.5 1,000,000 tokens and Muse Spark 1.2 1,048,576 tokens.

Which is smarter, Claude Sonnet 5.5 and Muse Spark 1.2?

Claude Sonnet 5.5 scores highest on the Artificial Analysis Intelligence Index: Claude Sonnet 5.5 56.0 and Muse Spark 1.2 39.6.

Can I switch between Claude Sonnet 5.5 and Muse Spark 1.2 without changing my code?

Yes. All of them are served through FastRouter's OpenAI-compatible API, so switching is a change of the model parameter (anthropic/claude-sonnet-5.5, meta/muse-spark-1.2).

Claude Sonnet 5.5 vs Muse Spark 1.2

Side-by-side pricing per provider, context window, benchmark scores and speed, all on one OpenAI-compatible API.

Claude Sonnet 5.5 Anthropicanthropic/claude-sonnet-5.5

Muse Spark 1.2 Metameta/muse-spark-1.2

Creator

Anthropic

Claude Sonnet 5.5 vs Muse Spark 1.2: summary

Claude Sonnet 5.5 and Muse Spark 1.2 are both available through FastRouter's OpenAI-compatible API, so switching between them is a change of model id, not a new integration.

Claude Sonnet 5.5, from Anthropic, has a 1,000,000-token context window, costs $2.00/1M input and $10.00/1M output tokens and scores 56.0 on the Artificial Analysis Intelligence Index.

Muse Spark 1.2, from Meta, has a 1,048,576-token context window, costs $1.25/1M input and $4.25/1M output tokens and scores 39.6 on the Artificial Analysis Intelligence Index.

Muse Spark 1.2 is the cheapest on input, 1.6× cheaper than the next model, Muse Spark 1.2 has the largest context window and Claude Sonnet 5.5 scores highest for intelligence.

Switch with one line

client = OpenAI(base_url="https://api.fastrouter.ai/api/v1", api_key="<FASTROUTER_API_KEY>") client.chat.completions.create(model="anthropic/claude-sonnet-5.5", messages=[...]) # or client.chat.completions.create(model="meta/muse-spark-1.2", messages=[...])

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Benchmark scores sourced from ArtificialAnalysis